2026 Summer Intern - Early Phase Biometrics Data Management

Department Summary

This role is in Early Development Biometrics (EDB), a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across early clinical development at Roche. We partner across Biostatistics, Analytical Data Science, and Data Management to enable data-driven decision-making from first-in-human through proof-of-concept studies.

As trusted partners in early development, we design efficient and innovative clinical trials, apply rigorous statistical methods, and implement high-quality programming and analytical solutions to accelerate timelines, de-risk development, and increase the probability of technical success. Our integrated teams operate with agility and scientific depth, supporting exploratory analyses, early regulatory engagements, and complex data-generation needs across therapeutic areas. Together, we bring scientific rigor, technical innovation, and strategic insight to shape the future of early development and deliver better outcomes for patients.

This internship position is located in South San Francisco, on-site.  

The Opportunity

• Define and implement a cross-study data standard for raw inputs from Microperimetry, standard automated perimetry, and VR perimetry (file formats, metadata, naming conventions, and required fields).

• Define and implement cross-study data standards for extracted outputs (e.g., sensitivity maps, global indices, pointwise measures, reliability metrics), including units, derivations, and provenance.

• Build and document an end-to-end data processing workflow (ingestion → validation → transformation → standard datasets) to enable scalable reuse across existing and upcoming studies.

• Collaborate with Biostatistics, Analytical Data Science, and Data Management partners to gather requirements, iterate on standards, and ensure downstream analysis compatibility.

• Support exploratory analyses to demonstrate the utility of the standard (e.g., cross-sectional and longitudinal correlations between functional outcomes and OCT structure metrics), and summarize findings for stakeholders.

Program Highlights

• Intensive 12 months, full-time (40 hours per week) paid internship.

• Program start dates are in June 2026.

• A stipend, based on location, will be provided to help alleviate costs associated with the internship. 

• Ownership of challenging and impactful business-critical projects.

• Work with some of the most talented people in the biotechnology industry.

Who You Are

Required Education

You meet one of the following criteria:

• Must be pursuing a Master's Degree (enrolled student).

• Must be pursuing a PhD (enrolled student).

Required Majors: Quantitative field, including computer science, biomedical engineering, mathematics, physics etc.

Required Skills: Familiar with Python and HPC environment. 

Preferred Knowledge, Skills, and Qualifications

• Excellent communication, collaboration, and interpersonal skills.

• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

• Experience working with medical tabular and imaging data.

Relocation benefits are not available for this job posting. 

The expected salary range for this position based on the primary location of California is $40.00-$50.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.